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156 results for “Shear wave”
A Study to Evaluate Liver Stiffness With Shear Wave Elastography
ClinicalTrials.gov study NCT05097963. IPD Sharing: NO. Countries: 1. Publications: 1.
Data from: 3D shear-wave velocity model of central Makran using ambient-noise adjoint tomography
Open the record for dataset details and reuse information.
Database for Study: Shear-wave elastography for assessment of trapezius muscle stiffness: reliability and association with low-level muscle activity
<p>This is the database for the study entitled <strong>Shear-wave elastography for assessment of trapezius muscle stiffness: reliability and association with low-level muscle activity. </strong>In this study, we explored the reliability of shear-wave elastography for assessment of the trapezius muscle stiffness and its relationship with low-level muscle activity.Twenty participants were included in a two-session experiment. Measurements of shear modulus and muscle activity were performed at rest and during low-level activity, induced by shoulder abduction without additional external resistance. Good to excellent intra-session repeatability (ICC > 0.80) and moderate inter-rater and inter-session reproducibility (ICC = 0.66-0.74) were observed. Typical errors were acceptable only for intra-session measurements in resting conditions. Inverse relationships between shear modulus and muscle activity at 40° and 60° of shoulder abduction (r = -0.53 and -0.57) were observed on a group level. We also found lower shear modulus in females, for perpendicular probe position and for the non-dominant side of the body. Previous studies have demonstrated positive within-individual relationships between muscle activity and shear modulus. Our results suggested that, at least when the activity levels are low, an inverse relationship exists between muscle activity and shear modulus on a group level, suggesting inherent passive stiffness could account for a larger portion of the variance (compared to muscle activity) in shear modulus when the muscle activity is low. Our results imply that shear-wave elastography can be used in research exploring muscle stiffness, however, caution is needed since only intra-session examination in resting conditions showed acceptable within-participant typical errors.</p>
Surface-wave instability without inertia in shear-thickening suspensions
<p>All data plotted in the figures of the article "Surface-wave instability without inertia in shear-thickening suspensions".</p> <p> </p>
Data from: Utility of real-time shear wave elastography in the assessment of testicular torsion
Real-time shear-wave elastography (SWE) is a newly developed method which can obtain the stiffness of tissues and organs based on tracking of shear wave propagation through a structure. Several studies have demonstrated its potential in the differentiation between diseased and normal tissue in clinical practices, however the applicability to testicular disease has not been well elucidated. We investigated the feasibility and reproducibility of SWE in the detection of testicular torsion. This prospective study comprised 15 patients with complete testicular torsion. Results obtained from SWE along with conventional gray-scale and color Doppler sonography and post-operative pathology were compared. The results revealed that (i) the size of injured testis was increased and the twisted testis parenchyma was heterogeneous. The blood flow signals in injured testis were barely visible or absent; (ii) The Young's modulus, including Emean, Emax, Emin and SD values in the border area of torsional testis were higher than those of normal testis (Emean, 78.07±9.01kPa vs 22.0±5.10kPa; Emax,94.07±6.53kPa vs 27.87±5.78kPa; Emin, 60.73±7.84 kPa vs 18.90±4.39kPa; SD, 7.67±0.60 kPa vs 2.30±0.36 kPa, [P<0.05]); The Emax and SD values in the central area of the torsional testis were higher than the corresponding area of the normal testis (Emax, 8.23±0.30 kPa vs 3.97±0.95kPa; SD, 1.5±0.26kPa vs 0.67±0.35kPa,[P<0.05]) and Emin values was lower than those of normal testicles(0.93±0.51kPa vs 1.6±0.36kPa; [P<0.05]); (iii) The Young's modulus measurement between two physicians showed good agreement. The pathological findings were accordance with SWE measurement. SWE is a non-invasive, convenient and high reproducible method and may serve as an important alternative tool in the diagnosis and monitoring the progression of the acute scrotums, in additional to conventional Doppler sonography.
Shear wave velocities and associated CPT data for S-PCPT testing in the North Sea
<p>This dataset combines shear wave velocity measurements and associated CPT for offshore wind farm sites in The Netherlands and Germany. The data has been collected by RVO in The Netherlands and BSH in Germany and is available in the public domain. The author has processed the data as part of his PhD research at Vrije Universiteit Brussel.</p>
Crustal and Uppermost Mantle Shear Wave Velocity Model in Africa
<p>This dataset consist of the shear-wave velocity model in eastern and southern Africa (0-65 km) and the Rayleigh-wave dispersion data used in producing the model. This dataset is associated with Zhang et al. (2025). </p>
Seasonal particle responses to near-bed shear stress in a shallow, wave- and current-driven environment
<p>Novel analysis of in-situ acoustic and optical data collected in a shallow, wave- and current-driven environment enabled determination of: (1) particle characteristics that were most affected by near-bed physical forcing over seasonal scales, and (2) characteristic shear stress, t<sub>char</sub>, at which the rate of change to particle characteristics was most pronounced. Near-bed forcing and particle responses varied by season. Results indicated that moderate t<sub>char</sub> values of 0.125 Pa drove changes in particle composition during summer. In winter, particle concentration effects were most affected at t<sub>char</sub> of 0.05 Pa, suggesting dominance of fluff layer resuspension. Changes to particle size were most relevant during a biologically productive springtime period, with initiation of particle disaggregation occurring most commonly at t<sub>char</sub> of 0.25 Pa. These results suggest that it may be more important to parameterize t<sub>char</sub>, as opposed to critical shear stress for erosion, for sediment transport models.</p>
Supporting information for Spatial scales of the velocity shear layer and Kelvin-Helmholtz waves on the magnetopause: First statistical results
<p>Kelvin-Helmholtz (KH) waves observed by ARTEMIS P1 from 2015 to 2020. From the first column to the last column is: probe, date, time interval of KH waves, the location of KH waves in GSM coordinate, and the dominate period, phase speed, and wavelength of KH waves.</p>
Waveform data for the manuscript "Varying Shear Wave Splitting Parameters Suggest Interaction between Lithosphere and Asthenosphere in Arxan-Chaihe Volcanic Field, NE China"
<p>The folder contains the seismic waveform data (in SAC format) used for shear wave splitting measurements in this study, which has been filtered with corner frequencies of 0.02–1.00 Hz. </p>
Shear wave velocity model inverted
<p>Shear wave velocity model </p>
Rayleigh wave H/V and phase velocity measurements of "3D Shear Wave Velocity Model of Salt Lake Valley via Rayleigh Wave Ellipticity Across a Temporary Geophone Array"
<p>This file includes Rayleigh wave H/V and phase velocity measurements of the paper "3D Shear Wave Velocity Model of Salt Lake Valley via Rayleigh Wave Ellipticity Across a Temporary Geophone Array" in journal The Seismic Record by Qicheng Zeng, Fan-Chi Lin, and Amir A. Allam. Detailed desciption in README in the zip file.</p>
Effects of Tropospheric Vertical Wind Shear on Gravity Waves Generated by Tropical Cyclones
<p>The configuration for running WRF, and the data and codes for ploting the figures in our manuscript are provided here.</p>
Draft-Laboratory observation of turbulence and wave shear stresses under large scale breaking waves over a mild slope
<p>figures with PNG format and dataset for generation of plots</p>
Plots source data for the Communications Earth & Environment research article titled: Diurnal expansion and contraction of englacial fracture networks revealed by seismic shear wave splitting
<p>The source data for plotting figures presented in the main text of article titled: Diurnal expansion and contraction of englacial fracture networks revealed by seismic shear wave splitting.</p>
Data for manuscript "Investigate on the Compression-shear Coupled Stress Waves Propagating in Heterogeneous Rock" submitted to JGR
<p>In the manuscript "Investigate on the Compression-shear Coupled Stress Waves Propagating in Heterogeneous Rock", the true triaxial experimental testing system is employed to measure the longitudinal wave velocities of three samples: granite (i), mortar model material (ii, MMM), and mortar model material with coarse aggregates (iii, MMMA), under different triaxial confining pressures. Here, the initial electrical signal data received on the strain gauge is provided and recorded. The measured position is consistent with that shown in Figure D1 in the manuscript.</p>
Joint Inversion of Receiver Functions and Apparent Shear Wave Velocity for Martian Crustal Model
<p>Data and Codes of the joint inversion of receiver functions and apparent shear wave velocity for martian crustal model.</p>
ZZ and TT cross-correlation functions, shear wave velocity and radial anisotropy models in the Bohai Bay basin
<p>This dataset contains three parts: ambient noise cross-correlation functions (ZZ and TT), S-wave velocity models and radial anisotropy models in the Bohai Bay basin.</p>
Shear wave velocity inversion based on dispersion characteristics of seabed Scholte wave in deep water
<p>Simulated displacement records at the seabed with three different water depths using spectral element method. </p>
Dataset and Software for An anisotropic shear velocity model of the Earth's mantle using normal modes, body waves, surface waves and long-period waveforms
<p><strong>What is the nature of flow in the mantle?</strong><br> <strong>How fast do waves travel anywhere on Earth?</strong><br> <strong>Where can radial anisotropy be robustly detected?</strong><br> <strong>Can we reconcile a broad spectrum of seismic data? What are the benefits?</strong></p> <p>We use normal-mode splitting functions in addition to surface-wave phase anomalies, body-wave travel times and long-period waveforms to construct a three-dimensional model of anisotropic shear-wave velocity in the Earth's mantle. This is the <strong>first tomographic study</strong> to exploit the sensitivity of mode-splitting data to constrain radial anisotropy in the Earth's mantle jointly with several other types of data. Our modeling approach inverts for mantle velocity and anisotropy as well as transition-zone discontinuity topographies, and incorporates new crustal corrections for the splitting functions that are consistent with the nonlinear corrections we employ for the waveforms. Our preferred anisotropic model, S362ANI+M, is an update to the earlier model S362ANI, which did not include normal-mode splitting functions in its derivation.</p> <p><strong>Feedback/Questions?</strong> Please contact Raj Moulik (<a href="https://rajmoulik.com">rajmoulik.com</a>) at <a href="mailto:moulik@caa.columbia.edu?subject=Query%20from%20Zenodo">moulik@caa.columbia.edu</a> </p> <p><strong>Reference:</strong></p> <p><em>Please cite the following work if you use this data or software.</em></p> <ul> <li>Moulik, P. & Ekström, G., 2014. An anisotropic shear velocity model of the Earth's mantle using normal modes, body waves, surface waves and long-period waveforms, <em>Geophys. J. Int.</em>, <strong>199</strong>(3), 1713-1738, doi: <a href="http://dx.doi.org/10.1093/gji/ggu356">10.1093/gji/ggu356</a>. <em><a href="https://rajmoulik.com/Publications/MoulikEkstrom_GJI2014.pdf">pdf</a></em></li> </ul> <p><em>You can also cite the dataset and software from this Zenodo page (Optional).</em></p> <ul> <li> <p>Moulik, P. & Ekström, G., 2014. Dataset and Software for An anisotropic shear velocity model of the Earth's mantle using normal modes, body waves, surface waves and long-period waveforms. In Geophys. J. Int. (v1.0, Vol. 199, pp. 1713–1738). Zenodo. doi: <a href="https://doi.org/10.5281/zenodo.8357379">10.5281/zenodo.8357379</a></p> </li> </ul> <p><strong>Data Products:</strong></p> <ul> <li><a href="https://zenodo.org/api/files/a15ed123-5262-4c4b-9806-1b50e7f8ee82/S362ANIplusM_Figures.tar.gz"><strong>S362ANIplusM_Figures.tar.gz</strong></a> - contains all figures from the paper in .png format</li> <li><a href="https://zenodo.org/api/files/a15ed123-5262-4c4b-9806-1b50e7f8ee82/S362ANI%2BM_MapViewsCrossSections.pdf"><strong>S362ANI+M_MapViewsCrossSections.pdf</strong></a> - Some cross sections and map views at various depths in the mantle</li> <li><strong><a href="https://zenodo.org/api/files/a15ed123-5262-4c4b-9806-1b50e7f8ee82/S362ANI%2BM">S362ANI+M</a> - </strong>Coefficients of the spline basis functions for each parameter. Refer c<sub>ij</sub> in equation 11. This is our preferred global model of shear-wave velocity. In this model, radial anisotropy is confined to the uppermost mantle (that is, since the anisotropy is parameterized with only the four uppermost splines, it becomes very small below a depth of 250 km, and vanishes at 410 km). This is an updated version of S362ANI (Kustowski et al., 2008) which did not include normal modes in its derivation. Please note the stronger isotropic shear velocity anomalies in the transition zone.</li> <li><a href="https://zenodo.org/api/files/a15ed123-5262-4c4b-9806-1b50e7f8ee82/STW105"><strong>STW105</strong></a> - reference model used in S362ANI+M. Described in Kustowski et al. (2008)</li> <li><strong><a href="https://zenodo.org/api/files/a15ed123-5262-4c4b-9806-1b50e7f8ee82/setup.cfg">setup.cfg</a> - </strong>Some configuration metadata relevant to this model for reproducibility.</li> <li><a href="https://zenodo.org/api/files/a15ed123-5262-4c4b-9806-1b50e7f8ee82/epix.tar.gz"><strong>epix.tar.gz</strong></a> - Perturbations in horizontally (vsh) and vertically polarized shear velocity (vsv), Voigt-average isotropic velocity (vs), ansotropy (as) and topography of the internal boundaries. This is calculated from the spline coefficients at every 1 by 1 degree cell-centered pixel and at every ~25 km depth region from Moho to the core-mantle boundary and stored in extended pixel format (.epix) ASCII files. </li> <li><a href="https://zenodo.org/api/files/a15ed123-5262-4c4b-9806-1b50e7f8ee82/S362ANI%2BM.BOX25km_PIX1X1.avni.nc4"><strong>S362ANI+M.BOX25km_PIX1X1.avni.nc4</strong></a> - The perturbations in a standard AVNI format that utilizes the NETCDF4 container format. This file can be read in Python using either xarray or AVNI libraries. For example, to plot vs perturbations at 24.4-50 km depth range <ul> <li><em>import xarray as xr</em></li> <li><em>ds = xr.open_dataset('S362ANI+M.BOX25km_PIX1X1.avni.nc4')</em></li> <li><em>ds.vs[0].plot()</em></li> </ul> </li> <li><strong>Fortran Code</strong> <ul> <li><a href="https://zenodo.org/api/files/a15ed123-5262-4c4b-9806-1b50e7f8ee82/readme"><strong>readme</strong></a> - contains a description of all files in the folder below</li> <li><a href="https://zenodo.org/api/files/a15ed123-5262-4c4b-9806-1b50e7f8ee82/PROGRAMS.tar.gz"><strong>PROGRAMS.tar.gz</strong></a> - tools for obtaining model values at specific locations and some GMT plotting tools</li> </ul> </li> <li><a href="https://zenodo.org/api/files/a15ed123-5262-4c4b-9806-1b50e7f8ee82/GRD.tar.gz"><strong>GRD.tar.gz</strong></a> - longitude-latitide-velocity files with vsh, vsv, and Voigt average in km/s evaluated on a grid of points at many depths in the mantle</li> </ul>
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